Lead application Adaptive edge AI systems for industrial application
Based on our research, it will be possible to integrate artificial intelligence directly into the sensor and thus derive decisions in real time without detouring via the cloud. The automated adaptation to new environmental conditions can open up versatile fields of application.
These solutions can be used to detect fault conditions or wear directly in the process or to implement measurement systems for maintenance that enable direct evaluation based on the sensor data. This makes an active contribution to the conservation of resources (computing time, communication overhead).
Contact
Contact
Dr.-Ing. Tino Hutschenreuther
Head of System Design
tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40
Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.
Related content
Project
VirtuSen
With the help of virtual sensor technology and AI, it is intended to detect and compensate for disruptive influences on complex mechatronic systems such as high-precision drives with spatial resolution
Project
HoLoDEC
IMMS researches ultra-low-power architectures (ULP) and circuit concepts as well as energy-efficient edge-AI systems with overall system energy modeling
Project
ProQuaOpt
IMMS is developing an AI-based control system for resource-efficient online optimisation of injection moulding
Project
Trib.US
Real-time capable platform and algorithms for mobile multi-sensor inspection device for the maintenance of roller bearings
Reference
Heinz-Wolfgang Lahmann, GFE – Gesellschaft für Fertigungstechnik und Entwicklung Schmalkalden e.V.
”In our collaboration with IMMS, we particularly appreciate the expertise in the field of sensor data acquisition and processing, the high application orientation of the solutions and the constructive contacts with its employees – not least when working together on site on machines and equipment.”
Reference
Prof. Dr. Peter Holstein, SONOTEC GmbH
“IMMS has designed the digital components of the hardware to be used in our new digital ultrasonic testing device. The signal processing performance achieved is largely based on FPGA technology, a field in which IMMS has excellent references. Our joint work with IMMS went off perfectly.”
Application of the Expert Design Plan Methodology on an Ultra-Low-Power Sensor Frontend
Lorenz Renner1. Ralf Sommer1,2. Yannick Uhlmann3.2025 21th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), July 7 - 10, 2025, Istanbul, Turkey
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany. 2Technische Universität Ilmenau, Electrical Engineering and Information Technology, Electronic Circuits and Systems Group, Ilmenau, 98693, Germany. 3Electronics & Drives, Reutlingen University, Reutlingen, Germany.High-Sensitive Demodulator with Built-in Negative Offset Comparator for Passive UHF RFID Tags
Rohit Kesharwani1. Andre Jäger1. Martin Grabmann. Georg Gläser. Eric Schäfer1.IEEE RFID-TA 2024, Forum for advancing RFID technology and practice, Daytona Beach, FL, USA, December 18–20, 2024
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany.High-Sensitive Demodulator with Built-in Negative Offset Comparator for Passive UHF RFID Tags
Rohit Kesharwani1. Andre Jäger1. Martin Grabmann. Georg Gläser. Eric Schäfer1.2024 IEEE International Conference on RFID Technology and Applications (RFID-TA), Daytona Beach, FL, USA, 2024, pp. 109-112, DOI: doi.org/10.1109/RFID-TA64374.2024.10965142
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany.Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime Predictions
Silvia Krug1,2. Tino Hutschenreuther2. Hannes Toepfer2,3. Mattias O’Nils1.Electronics 2024, 13, 4578, DOI: doi.org/10.3390/electronics13234578
1Department of Computer and Electrical Engineering, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany. 3Advanced Electromagnetics Group, Technische Universität Ilmenau, Ehrenbergstraße 29, 98693 Ilmenau, Germany.
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Service for R&D
Development of embedded systems
We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.
Core topic
Embedded AI
The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.
Core topic
Real-time data processing and communications
New hardware is usually not supported by operating systems for real-time tasks. We are researching which operating system can be implemented in which way for which real-time application and the hardware required there.
Research field
Smart distributed measurement and test systems
Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.